Estimating case-based learning

• Published in: Games Vol. 11; no. 3; pp. 1 - 25
• Main Authors: Guilfoos, Todd, Pape, Andreas D
• Format: Journal Article
• Language: English
• Published: Basel MDPI 01.09.2020; MDPI AG
• Subjects: Analysis; Applied research; behavioral game theory; case-based decision theory; Decision theory; Game theory; learning; Learning theory (Psychology); United States

We propose a framework in order to econometrically estimate case-based learning and apply it to empirical data from twelve 2 × 2 mixed strategy equilibria experiments. Case-based learning allows agents to explicitly incorporate information available to the experimental subjects in a simple, compact,...